Self-Organizable Flying Agent Control Architecture for Unmanned Aerial Vehicles

摘要

This paper proposes and evaluates a biologically inspired autonomous system that makes networked agents or applications to be autonomous, scalable, and adaptive. With the proposed system, a network application consisting of an associate of agents is designed by decentralized agents,which are analogous to mobile cells that have ability to migrate in biological systems. Each agent has a unique functionality for network systems, and implements biological behaviors such as migration, replication, reproduction, and death. The proposed system allows agents to autonomouslysense its surrounding environments to evaluate whether they adapts well to the sensed environment conditions. Empirical measurement results show that the agent adapts well to the dynamic environments.